Path analysis results
| Path | Direct effect | Total effect | Indirect effect | H | Result | |||
|---|---|---|---|---|---|---|---|---|
| Coefficient | t-value | Coefficient | t-value | Coefficient | t-value | |||
| SE → PER | −0.196 | 0.784 | −0.115 | 0.930 | H1 | Not supported | ||
| SE → MA | 0.244* | 2.090 | H2 | Supported | ||||
| MA → PER | 0.357*** | 3.244 | H3 | Supported | ||||
| SE → MA → PER | 0.087† | 1.824 | H4 | Supported | ||||
| Control variables | ||||||||
| #SP → PER | −0.214* | 2.037 | −0.242* | 2.417 | ||||
| TEN → PER | 0.079 | 0.974 | 0.116 | 1.480 | ||||
| GEN → PER | −0.011 | 0.147 | 0.030 | 0.370 | ||||
| PRI_EX → PER | 0.052 | 0.548 | 0.057 | 0.688 | ||||
| Path | Direct effect | Total effect | Indirect effect | Result | ||||
|---|---|---|---|---|---|---|---|---|
| Coefficient | Coefficient | Coefficient | ||||||
| SE → PER | −0.196 | 0.784 | −0.115 | 0.930 | Not supported | |||
| SE → MA | 0.244* | 2.090 | Supported | |||||
| MA → PER | 0.357*** | 3.244 | Supported | |||||
| SE → MA → PER | 0.087† | 1.824 | Supported | |||||
| #SP → PER | −0.214* | 2.037 | −0.242* | 2.417 | ||||
| TEN → PER | 0.079 | 0.974 | 0.116 | 1.480 | ||||
| GEN → PER | −0.011 | 0.147 | 0.030 | 0.370 | ||||
| PRI_EX → PER | 0.052 | 0.548 | 0.057 | 0.688 | ||||
Note(s): n = 126 respondents
H = Hypothesis, SE = self-efficacy, PER = performance, MA = managerial attitude, #SP = number of specializations, TEN = tenure, GEN = gender, PRI EX = prior experience as head of unit
***p < 0.001, *p < 0.05, †p < 0.1
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